Triple
T21179759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montgomery of Brigend |
E521913
|
entity |
| Predicate | coatOfArmsBasis |
P90775
|
FINISHED |
| Object | arms of Clan Montgomery |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: arms of Clan Montgomery | Statement: [Montgomery of Brigend, coatOfArmsBasis, arms of Clan Montgomery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coatOfArmsBasis Context triple: [Montgomery of Brigend, coatOfArmsBasis, arms of Clan Montgomery]
-
A.
hasHeraldicBasis
chosen
Indicates that something is founded on, derived from, or justified by heraldic principles, symbols, or traditions.
-
B.
coatOfArms
Indicates that one entity serves as the heraldic emblem or coat of arms representing another entity.
-
C.
coatOfArmsType
Indicates the specific kind or category of coat of arms associated with an entity.
-
D.
coatOfArmsCaption
Indicates the descriptive text that explains or labels the depicted coat of arms.
-
E.
coatOfArmsOnFlag
Indicates that a flag features or displays a particular coat of arms as part of its design.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b50ef1d48190b063aa342667df22 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7301c842c8190b969a8b3f194003a |
completed | April 21, 2026, 8:06 a.m. |
| PD | Predicate disambiguation | batch_69e5f6027c248190a170a36612bd337e |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:01 p.m.